Nevin Manimala Statistics

Hormonal Parameters in Diverse Phenotypes of Polycystic Ovarian Syndrome

Mymensingh Med J. 2023 Jan;32(1):3-9.


Polycystic ovary syndrome (PCOS) is a polygenic and multifactorial condition, regarded as the most common endocrine abnormality of women in reproductive period. It is commonly assumed that insulin resistance, hyperandrogenism and obesity significantly influence the pathophysiological process of PCOS. This study was designed to estimate hormonal parameters in different phenotypes of PCOS. The cross sectional descriptive type of observational study was carried out at Mymensingh Medical College Hospital, Mymensingh, Bangladesh from January 2018 to June 2019. Data were collected from purposively selected 107 patients with PCOS by interview, clinical examination and laboratory investigations using a pretested case record form. Data were analyzed by computer software, SPSS-version 22.0. Hormonal parameters in different phenotypes of PCOS were compared with ANOVA test. Phenotype A was found in highest number (59.8%) followed by phenotype B (14.9%), phenotype D (14.0%) and phenotype C (11.2%). Biochemical hyperandrogenism was observed highest in phenotype A (57.8%) followed by phenotype B (36.4%) and phenotype C (6.1%). Biochemical or clinical hyperandrogenism was not observed among patients of phenotype D. Altered LH:FSH ratio was high in phenotype A (14.1%) and Phenotype B (2.8%). Increased serum prolactin level was found highest in phenotype A (10.3%) and increased serum TSH was found highest in phenotype D (4.7%). Statistically significant difference was observed among levels of serum testosterone of different phenotypes (p<0.001). Hormonal derangements among different phenotypes reflect the severity of reproductive dysfunction and metabolic aberrations. Screening for metabolic risks of diverse phenotypes is important to detect and prevent long term health consequences of PCOS.


By Nevin Manimala

Portfolio Website for Nevin Manimala